AIMC Topic: Humans

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Marvin: An Innovative Omni-Directional Robotic Assistant for Domestic Environments.

Sensors (Basel, Switzerland)
Population aging and pandemics have been shown to cause the isolation of elderly people in their houses, generating the need for a reliable assistive figure. Robotic assistants are the new frontier of innovation for domestic welfare, and elderly moni...

Use of SVM-based ensemble feature selection method for gene expression data analysis.

Statistical applications in genetics and molecular biology
Gene selection is one of the key steps for gene expression data analysis. An SVM-based ensemble feature selection method is proposed in this paper. Firstly, the method builds many subsets by using Monte Carlo sampling. Secondly, ranking all the featu...

External validation of a machine learning model to predict hemodynamic instability in intensive care unit.

Critical care (London, England)
BACKGROUND: Early prediction model of hemodynamic instability has the potential to improve the critical care, whereas limited external validation on the generalizability. We aimed to independently validate the Hemodynamic Stability Index (HSI), a mul...

Multimodal image translation via deep learning inference model trained in video domain.

BMC medical imaging
BACKGROUND: Current medical image translation is implemented in the image domain. Considering the medical image acquisition is essentially a temporally continuous process, we attempt to develop a novel image translation framework via deep learning tr...

Barriers to Use Artificial Intelligence Methodologies in Health Technology Assessment in Central and East European Countries.

Frontiers in public health
The aim of this paper is to identify the barriers that are specifically relevant to the use of Artificial Intelligence (AI)-based evidence in Central and Eastern European (CEE) Health Technology Assessment (HTA) systems. The study relied on two main ...

Human Gait Analysis: A Sequential Framework of Lightweight Deep Learning and Improved Moth-Flame Optimization Algorithm.

Computational intelligence and neuroscience
Human gait recognition has emerged as a branch of biometric identification in the last decade, focusing on individuals based on several characteristics such as movement, time, and clothing. It is also great for video surveillance applications. The ma...

Biomechanics of Volleyball Players' Run-Up and Take-Off Link under Deep Learning.

Computational intelligence and neuroscience
In volleyball, the correct approach and start (including the number of steps and stride speed) are a prerequisite for all technical movements to attack. It can not only improve the horizontal speed of the athlete, but also properly convert the total ...

Intelligent Face Recognition System Based on Universal Design Concept.

Computational intelligence and neuroscience
The rapid development of science and technology, i.e., integrated modules that are actuators and sensors, promotes the comprehensive popularization of intelligent products in people's life. More particularly, with the advent of the hybrid of the Inte...

IGBT Fault Prediction Combining Terminal Characteristics and Artificial Intelligence Neural Network.

Computational and mathematical methods in medicine
The insulated gate bipolar transistor (IGBT) is widely utilized in the transportation, power, and energy domains because of its high input impedance and minimal on-voltage drop. IGBTs are frequently used in industrial applications for lengthy periods...

Detection of WBC, RBC, and Platelets in Blood Samples Using Deep Learning.

BioMed research international
A blood count is one of the most important diagnostic tools in medicine and one of the most common procedures. It can reveal important changes in the body and is commonly used as the first stage in the process of evaluating patients' health. Even tho...